The initial issue that must be addressed in teamwork is the manner in which decisions are made by the group and its members. Voting is a procedure to aggregate individual votes to achieve a collective decision. Since individuals have varied opinions and preferences, preferential voting assists in conveying the priorities of the voters to the society or community. In many circumstances, such as voting-based managerial decisions, voters are of a voting preference of unequal voting power. This paper presents a method for the ranking of preferential voting with voters of unequal voting power, which, in addition to the utilization of preference voting models, employs the DEA and assurance region techniques. The deployment of DEA technique causes an increment in the competence of discriminating the ranking of candidates, and in the finale the proposed method is expressed for an empirical example to rank the petrochemical companies in the Tehran Stock Exchange.
Among homogeneous entities, there are some shared resources from which all the entities benefit. A significant point is to allocate the fixed costs of these shared resources equitably between entities. Data envelopment analysis is a technique applied for decision-making, concerning and evaluating the performance of decision-making units. One of the functions of these units is to solve the fair fixed cost allocation problem, based on the performance of a set of homogeneous decision-making units. In this paper, a method for allocating fixed costs using cross efficiency has been suggested, where the obtained result is Pareto cross-efficient. Moreover, the proposed method helps estimate the value of [Formula: see text] (lower bound of weights) and the mode of selecting [Formula: see text] for the suggested model using the standard deviation. Finally, by using a numerical example, the proposed method of allocating fixed costs is compared to the previous ones.
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